Variable synaptic strengths controls the firing rate distribution in feedforward neural networks.
Cheng LyGary MarsatPublished in: J. Comput. Neurosci. (2018)
Keyphrases
- feedforward neural networks
- neural network
- back propagation
- hidden layer
- single neuron
- recurrent neural networks
- feed forward
- extreme learning machine
- error function
- probability distribution
- random variables
- input output
- machine learning
- graphical models
- multilayer perceptron
- bayesian networks
- activation function
- learning algorithm
- input pattern